Data Science Courses at Boston University
A list of Data Science courses at Boston University.
H2 Computing and Data Sciences
- CDS DS 100 - Data Speak Louder Than Words
- CDS DS 109 - Data Science First Year Seminar
- Colleen Gilman
- Lakyn Bright
- Elizabeth Carter
- Molly-Kate Macleod
- CDS DS 110 - Introduction to Data Science with Python
- CDS DS 120 - Foundations of Data Science I
- CDS DS 121 - Foundations of Data Science II
- CDS DS 122 - Foundations of Data Science III
- CDS DS 199 - CDS Workshops (1 credit)
- CDS DS 200 - Undergraduate Internship in Data Science
- CDS DS 209 - Spark! Software Engineering Immersion
- CDS DS 210 - Programming for Data Science
- Leonidas Kontothanassis
- Thomas Gardos
- Alishah Chator
- CDS DS 219 - Software Engineering Career Prep Workshop
- CDS DS 229 - Introduction to Product Management
- CDS DS 280 - Spark! UX/UI Design
- Lisa Lyman
- Matthew Carrano
- Ziba Cranmer
- CDS DS 287 - Spark! Diversity and Equity in Data Science Workshop
- CDS DS 288 - Spark! Workshop on Translating Computing & Data Science Concepts and Technologies through Storytelling
- CDS DS 290 - Spark! Civic Tech Research Design Workshop
- CDS DS 291 - Spark! Exploring DEI in Tech
- Chanravy Proeung
- Ziba Cranmer
- CDS DS 292 - Spark! Civic Tech Toolkit Workshop
- CDS DS 293 - Spark! Civic Tech Toolkit Workshop
- CDS DS 299 - CDS Workshops (2 credits)
- CDS DS 310 - Data Mechanics
- CDS DS 320 - Algorithms for Data Science
- CDS DS 340 - Introduction to Machine Learning and AI
- CDS DS 380 - Data, Society, and AI Ethics
- CDS DS 381 - Social Justice for Data Science
- CDS DS 430 / 630 - Introduction to Bioinformatics and Computational Biology
- CDS DS 453 / 653 - Crypto for Data Science
- CDS DS 457 / 657 / LAW JD 673 - Law for Algorithms
- CDS DS 471 - Spark! Technology Innovation Practicum
- CDS DS 480 - AI Ethics
- CDS DS 481 - Spark! Data Science for Good: Topics in Civic Tech
- CDS DS 482 - Responsible AI, Law, Ethics & Society
- CDS DS 488 - Spark! UX Design X-Lab Practicum
- Maria Morero
- Morgan Curran
- CDS DS 490 - Directed Study in Computing and Data Sciences
- CDS DS 497 - Special Topics on Social and Behavioral Sciences
- Data Science of the Mind (Spring 2025, Fall 2025)
- CDS DS 499 - CDS Practicum Course
- CDS DS 501 - Spark Client Meeting
- CDS DS 519 - Spark! Software Engineering X-Lab Practicum
- Matthew Zhang
- Nagendra Mishr
- CDS DS 522 / CAS MA 586 - Stochastic Methods for Algorithms
- CDS DS 526 - Critical Reading in Biological Data Science
- CDS DS 537 / CAS EE 508 - Data Science for Conservation Decisions
- CDS DS 539 - Spark! Data Science X-Lab Practicum
- CDS DS 541 - Agent-Based Modeling of People, Health, and the Environment
- CDS DS 542 - Deep Learning for Data Science
- CDS DS 543 - Introduction to Reinforcement Learning
- CDS DS 549 - Spark! Machine Learning X-Lab Practicum
- Matthew Zhang
- Nagendra Mishr
- CDS DS 551 / 593 - Special Topics in Data Science Methodologies: Data Engineering at Scale
- CDS DS 561 - Software Engineering Development on Modern Cloud Environments
- CDS DS 563 / CAS CS 543 - Algorithmic Techniques for Taming Big Data
- CDS DS 571 - Tools for Data Science
- CDS DS 574 - Algorithmic Mechanism Design
- CDS DS 587 - Data Science in Human Contexts
- CDS DS 590 - CDS Research Initiation Seminar
- CDS DS 592 - Special Topics in Mathematical and Computational Sciences
- Randomized Algorithms (Spring 2024)
- Introduction to Sequential Decision Making (Spring 2025)
- CDS DS 593 - Special Topics in Data Science Methodologies
- Data Engineerring at Scale (Spring 2024)
- Privacy in Practice (Spring 2025)
- Privacy-Conscious Computer Systems (Fall 2025)
- CDS DS 594 - Spark! Data Visualization X-Lab Practicum
- Anthony Chamberas
- CDS DS 595 - Special Topics in Physical and Engineering Sciences
- CDS DS 596 - Special Topics in Natural, Biological and Medical Sciences
- Foundations of Biological Data Science (Spring 2024)
- Introduction to Bioinformatics and Computational Biology (Fall 2024)
- CDS DS 597 - Special Topics in Social and Behavioral Sciences
- CDS DS 598 - Special Topics in Machine Learning
- Introduction to Reinforcement Learning (Spring 2024)
- Deep Learning for Data Science (Spring 2024)
- Engineering for Big Data Solutions (Fall 2024, Spring 2025)
- CDS DS 630 - Introduction to Bioinformatics and Computational Biology
- CDS DS 644 - Machine Learning for Business Analytics
- CDS DS 653 - Crypto for Data Science
- CDS DS 657 - Law for Algorithms
- CDS DS 680 - AI Ethics
- CDS DS 682 - Responsible AI, Law, Ethics & Society
- CDS DS 688 - Spark! UX Design X-Lab Practicum
- CDS DS 690 - Directed Study in Computing and Data Sciences
- CDS DS 699 - Advanced Topics in Data Science
- CDS DS 701 - Tools for Data Science
- CDS DS 719 - Data Science Product Management I
- CDS DS 722 - Mathematical Foundations of Data Science and Machine Learning
- CDS DS 729 - Data Science Product Management II
- CDS DS 790 - MSDS Internship
- CDS DS 791 - Teaching Practicum
- CDS DS 792 - Teaching Practicum II
- CDS DS 795 - Urban Biogeoscience and Environmental Health: From Research to Policy
- CDS DS 799 - Master Thesis
- CDS DS 900 - Graduate Internship in Computing & Data Sciences
- CDS DS 990 - Computing & Data Sciences Lab Rotation
- CDS DS 991 - Computing & Data Sciences Research Rotation 1
- CDS DS 992 - Computing & Data Sciences Research Rotation 2
- CDS DS 999 - Continuing Study Zero Credit Full Time Certification
H2 Computer Science
- CAS CS 365 - Foundations of Data Science
- CAS CS 506 - Data Science Tools and Applications
H2 Mathematics and Statistics
- CAS MA 415 / 615 - Data Science in R
H2 Political Science
- CAS PO 399 / 599 - Data Science for Politics
H2 Biostatistics
- SPH BS 845 - Data Science and Statistical Modeling in R